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Cited by 35Optimal Power Flow DistributionPower Quality and HarmonicsSmart Grid Energy Management

The Concept of Dynamic Hosting Capacity for Distributed Energy Resources: Analytics and Practical Considerations

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Castelo de Oliveira, Tiago Elias, Bollen, Math, Ribeiro, Paulo Fernando, de Carvalho, Pedro M. S., Zambroni, Antônio C., Bonatto, Benedito D.·2019·Energies
DOI 10.3390/en12132576
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Abstract

The hosting capacity approach is presented as a planning, improving, and communication tool for electrical distribution systems operating under specific uncertainties, such as power quality issues, power stabilities, and reliability, among others. In other words, it is an important technique, when renewable sources are present, to answer the amount of power that is possible to supply to the system without trespassing power performance limits. However, the power flow in a distribution system, for instance, can change throughout time due to the penetration of distributed generation, as well as load consumption. Based on the dynamic nature existing in distribution grids nowadays, it is important to highlight that the hosting capacity should not be calculated in a specifically chosen time only, but must be analyzed throughout a period of time. Thus, this paper introduces an extended concept of hosting capacity in relation to an integrated impact of harmonic voltage distortion and voltage rise as a function of time for daily, weekly, monthly, or even yearly periods. This extended concept is named as Dynamic Hosting Capacity (DHC(t)). General aspects of DHC(t) are demonstrated via measured data on a photovoltaic system (PV) connected at a low-voltage (LV) side of a university building.

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  • The time series method provides a more accurate estimate of the HC of distribution networks because it considers the time variation in the load demand and PV generation profiles.

    “The time series method provides a more accurate estimate of the HC of distribution networks because it considers the time variation in the load demand and PV generation profiles [90].”

    From Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review (2023) · cites this paper as [90]

    Section 4.2 describes calculating a dynamic hosting-capacity profile at successive measurement times using measured PV power, and the Conclusions say this approach can help predict hosting capacity under varying generation and demand. But the paper does not establish that the time-series method is more accurate than another method; Section 4.4 also says its results could not be tested under loading conditions because load level was not measured separately. Page numbers are unavailable in our copy. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

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References 33 · Cited by 35

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  1. Carvalho, P.M.; Correia, P.F.; Ferreira, L.A. Distributed Reactive Power Generation Control for Voltage Rise Mitigation in Distribution Networks. IEEE Trans. Power Syst. 2008, 23, 766-772. [CrossRef] · DOI
  2. Carvalho, P.M.S.; Ferreira, L.A.F.M.; Santana, J.J.E. Single-phase generation headroom in low-voltage distribution networks under reduced circuit characterization. IEEE Trans. Power Syst. 2015, 30, 1006-1011. [CrossRef] · DOI
  3. Hatziargyriou, N. MICROGRIDS-Large Scale Integration of Micro-Generation to Low Voltage Grids. In Proceedings of the CIGRE 2006, 41st Session Conference, Paris, France, April 2006.
  4. De Oliveira, T.E.C.; Carvalho, P.M.S.; Ribeiro, P.F.; Bonatto, B.D. PV Hosting Capacity Dependence on Harmonic Voltage Distortion in Low-Voltage Grids: Model Validation with Experimental Data. Energies 2018, 11, 465. [CrossRef] · DOI
  5. Ferreira, P.D.F.; Carvalho, P.M.S.; Ferreira, L.A.F.M.; Ilic, M.D. Distributed energy resources integration challenges in low-voltage networks: Voltage control limitations and risk of cascading. IEEE Trans. Sustain. Energy 2013, 4, 82-88. [CrossRef] · DOI
  6. Bollen, M.; Hassan, F. Integration of Distributed Generation in the Power System; John Wiley & Sons: Hoboken, NJ, USA, 2011.
  7. Santos, N.; Bollen, M.H.J.; Ribeiro, P.F. Methodology for estimation of harmonic hosting. In Proceedings of the 2014 16th International Conference on Harmonics and Quality of Power, Bucharest, Romania, 25-28 May 2014.
  8. Etherden, N.; Bollen, M.H.J. Increasing the hosting capacity of distribution networks by curtailment of renewable energy resources. In Proceedings of the 2011 IEEE Trondheim PowerTech, Trondheim, Norway, 19-23 June 2011.
  9. Rylander, M.; Smith, J.; Sunderman, W. Streamlined Method for Determining Distribution System Hosting Capacity. In Proceedings of the 2015 IEEE Rural Electric Power Conference, Asheville, NC, USA, 19-21 April 2015.
  10. Capitanescu, F.; Ochoa, L.F.; Member, S.; Margossian, H.; Hatziargyriou, N.D. Assessing the Potential of Network Recon fi guration to Improve Distributed Generation Hosting Capacity in Active Distribution Systems. IEEE Trans. Power Syst. 2014, 30, 346-356. [CrossRef] · DOI
  11. Altin, M. Distributed Generation Hosting Capacity Calculation of MV Distribution Feeders in Turkey. In Proceedings of the 2014 IEEE PES Innovative Smart Grid Technologies, Istanbul, Turkey, 12-15 October 2014.
  12. Baccino, F.; de Nigris, M.; Gianinoni, I.; Grillo, S.; Massucco, S.; Tironi, E. A methodology for evaluating PEVs hosting capacity margins in distribution grids. In Proceedings of the 2012 IEEE Power and Energy Society General Meeting, San Diego, CA, USA, 22-26 July 2012.
  13. O'Connell, A.; Smith, J.; Keane, A. Distribution feeder hosting capacity analysis. In Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, Torino, Italy, 26-29 September 2018.
  14. Sáiz-marín, E.; Member, S.; Lobato, E.; Egido, I. Local Hosting Capacity Increase by Means of Wind Farm Voltage Control Provision. IEEE Trans. Power Syst. 2014, 29, 1731-1738. [CrossRef] · DOI
  15. Dubey, A.; Santoso, S. On Estimation and Sensitivity Analysis of Distribution Circuit's Photovoltaic Hosting Capacity. IEEE Trans. Power Syst. 2017, 32, 2779-2789. [CrossRef] · DOI · Paper page
  16. Abdel-salam, M.; Ziedan, H.; Kamel, R.M.; Sayed, K. Effect of Micro-Grid Renewable Micro-sources on Short Circuit Capacity of Hosting Distribution Networks. In Proceedings of the 35th International Telecommunications Energy Conference, Hamburg, Germany, 13-17 October 2013.
  17. Harrison, G.P.; Djokic, S.Z. Incorporating harmonic limits into assessment of the hosting capacity of active networks. In Proceedings of the CIRED 2012 Workshop: Integration of Renewables into the Distribution Grid, Lisbon, Portugal, 29-30 May 2012.
  18. Arshad, A.; Lindner, M.; Lehtonen, M. An analysis of photo-voltaic hosting capacity in finnish low voltage distribution networks. Energies 2017, 10, 1702. [CrossRef] · DOI
  19. Falabretti, D.; Merlo, M.; Delfanti, M. Network Reconfiguration and Storage Systems for the Hosting Capacity Improvement. In Proceedings of the 22nd International Conference on Electricity Distribution, Stockholm, Sweden, 10-13 June 2013.
  20. Schwaegerl, C.; Bollen, M.H.J.; Karoui, K.; Yagmur, A. Voltage control in distribution systems as a limitation of the hosting capacity for distributed energy resources. In Proceedings of the IET CIRED Conference, Turin, Italy, 6-9 June 2005.
  21. Ryckaert, W.R.A.; Ghijselen, J.A.L.; Melkebeek, J.A.A. Harmonic mitigation potential of shunt harmonic impedances and the influence of background distortion. In Proceedings of the 2003 IEEE Bologna Power Tech Conference Proceedings, Bologna, Italy, 23-26 June 2003.
  22. Ribeiro, P.F.; Leitao, J.J.A.L.; Lira, M.M.S.; Macedo, J.R.; Grandi, A.L.Z.; Testa, A.; Langella, R.; Cobben, J.F.G.; Browne, N.R. Harmonic distortion during the 2010 FIFA World Cup. In Proceedings of the 2011 IEEE Power and Energy Society General Meeting, San Diego, CA, USA, 24-29 July 2011.
  23. Ghijselen, J.A.; Ryckaert, W.R.; Melkebeek, J.A. Required Load Behaviour for Power. In Proceedings of the IEEE Power Engineering Society Summer Meeting, Chicago, IL, USA, 21-25 July 2002.
  24. Macedo, R.J.; Carneiro, V.J.R.; Martins, G.A.; Siqueira, V.M.J. The impact of FIFA World Cup 2006 on Power. In Proceedings of the 2007 9th International Conference on Electrical Power Quality and Utilisation, Barcelona, Spain, 9-11 October 2017.
  25. Leitão, J.J.A.L.; Fonseca, L.C.A.; Lira, M.M.S.; Soares, L.R.; Ribeiro, P.F. Harmonic distortion on a transmission system during games of the Brazilian National Team in the 2006 world cup. In Proceedings of the 2007 IEEE Power Engineering Society General Meeting, Tampa, FL, USA, 24-28 June 2007.
  26. Testa, A.; Langella, R. Harmonic pollution in Italian distribution networks in coincidence with important sport events. In Proceedings of the 2007 IEEE Power Engineering Society General Meeting, Tampa, FL, USA, 24-28 June 2007.
  27. Bollen, M.H.J.; Hager, M. Power Quality: Interactions Between Distributed Energy Resources, the Grid, and Other Customers. Electr. Power Qual. Util. Mag. 2005, 1, 51-61.
  28. Ribeiro, P.F.; Polinder, H.; Verkerk, M. Planning and designing smart grids: Philosophical considerations. IEEE Technol. Soc. Mag. 2012, 31, 34-43. [CrossRef] · DOI
  29. De Oliveira, T.E.C.; Ribeiro, P.F.; Santos, I.N. Determining the harmonic hosting capacity of PV sources for a university campus. In Proceedings of the 2016 17th International Conference on Harmonics and Quality of Power, Belo Horizonte, Brazil, 16-19 October 2016.
  30. De Oliveira, T.E.C.; Bonatto, B.D.; Filho, J.M.C.; Ribeiro, P.F.; Santos, I.N. Análise Econômica da Hospedagem de Fontes de Geração Distribuída no Sistema Elétrico de um Campus Universitário. In Proceedings of the An. do CBQEE 2015-XI Conferência Bras. sobre Qual. da Energ. Elétrica, Campina Grande, Paraíba, Brazil, 7-10 June 2015.
  31. MAthari, H.; Wang, Z.; Eylas, S.H. Time-series analysis of photovoltaic distributed generation impacts on a local distributed network. In Proceedings of the 2017 IEEE Manchester PowerTech, Manchester, UK, 18-22 June 2017.
  32. Fan, S.; Pu, T.; Li, L.; Yu, T.; Yang, Z.; Gao, B. Evaluation of impact of integrated distributed generation on distribution network based on time-series analysis. In Proceedings of the 2016 China International Conference on Electricity Distribution (CICED), Xi'an, China, 10-13 August 2016.
  33. Rylander, M.; Smith, J.; Lewis, D.; Steffel, S. Voltage impacts from distributed photovoltaics on two distribution feeders. In Proceedings of the 2013 IEEE Power & Energy Society General Meeting, Vancouver, BC, Canada, 21-25 July 2013.
  34. Zhu, D.; Jain, A.K.; Broadwater, R.; Bruna, F. Feeder Voltage Profile Design for Energy Conservation and PV HostingCapacity Enhancement. Electr. Power Syst. Res. 2018, 164, 263-271. [CrossRef · DOI

Authors
Castelo de Oliveira, T. E., Bollen, M., Ribeiro, P. F., de Carvalho, P. M. S., Zambroni, A. C., & Bonatto, B. D.
Affiliations
  • Electrical Energy Systems, Technological University of Eindhoven, 5612 AZ Eindhoven, The Netherlands
  • Luleå University of Technology (SE)
  • Universidade Federal de Itajubá (BR)
  • Energy Scientific Area, Instituto Superior Tecnico, Av. Rovisco Pais 1049-001 Lisbon, Portugal
  • Advanced Power Technologies and Innovations in Systems and Smart Grids Group, Federal University of Itajuba, Av. BPS, 1303, 37500-903 Itajuba, Brazil
Corresponding author
  • Bollen, Math
  • Ribeiro, Paulo Fernando
  • Bonatto, Benedito D.
ORCID
Venue
Energies
Publisher
MDPI AG
Published
2019-07-04
Volume
12
Issue
13
Pages
2576
ISSN
1996-1073 (ISSN-L)
DOI
10.3390/en12132576
OpenAlex
W2953818525
Cited by
35
References
33
Citations by year
2026: 2 · 2025: 3 · 2024: 6 · 2023: 5 · 2022: 6 · 2021: 4 · 2020: 9
FWCI
1.71
Type
journal article
Language
en
Open access
Licence
Locations
  • Energies (publishedVersion, cc-by)
  • TU/e Research Portal (publishedVersion, other-oa)
  • TU/e Research Portal (submittedVersion, other-oa)
  • TU/e Research Portal (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico
  • Fundação de Amparo à Pesquisa do Estado de Minas Gerais
  • Universidade Federal de Itajubá
  • Luleå Tekniska Universitet
  • Instituto Nacional de Energia Elétrica
  • Instituto Superior Técnico
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Power Quality and Harmonics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
Keywords
hosting capacity, distributed energy resources, distribution systems, voltage harmonic distortion, voltage rise, time-varying analysis, photovoltaic systems, low-voltage distribution, power quality, renewable energy integration

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